{"id":"W6907914249","doi":"10.25384/sage.24310527","title":"sj-docx-1-cjk-10.1177_20543581231203046 – Supplemental material for Stroke Subtype Among Individuals With Chronic Kidney Disease","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kidney disease; Stroke (engine); Disease; Kidney; Chronic stroke; Chronic disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00102982,0.00103054,0.001304835,0.004190975,0.001355596,0.003160132,0.002070071,0.001979886,0.8948261],"category_scores_gemma":[0.01443336,0.001249575,0.0009484532,0.004725094,0.0002982469,0.002244832,0.001316379,0.001683552,0.5327827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503544,"about_ca_system_score_gemma":0.002244056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02196665,"about_ca_topic_score_gemma":0.03519417,"domain_scores_codex":[0.9990242,0.00008432481,0.0002055129,0.0001773216,0.0003035576,0.0002050496],"domain_scores_gemma":[0.9891284,0.00375461,0.0009768659,0.0008076529,0.004022913,0.001309427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001428548,0.00006662153,0.0008521531,0.0004660705,0.00001159333,0.00002951698,0.00001992567,0.00002958665,0.0001255529,0.0001913106,0.9929194,0.005145453],"study_design_scores_gemma":[0.001679566,0.0001740953,0.0376529,0.001684869,0.00007748725,0.0005383125,0.000366719,0.0003772106,0.001221972,0.002264043,0.9538444,0.0001185446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003816743,0.00009121686,0.0001791154,0.0004759751,0.0003066605,0.0001608822,0.9853175,0.0008979707,0.01218891],"genre_scores_gemma":[0.00485789,0.0003737677,0.001784122,0.001257068,0.0006306443,0.000731049,0.9391553,0.001327031,0.04988301],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8948261,"threshold_uncertainty_score":0.1500178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164338662350685,"score_gpt":0.3110232662127974,"score_spread":0.2793798795892906,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}